Triple

T24951042
Position Surface form Disambiguated ID Type / Status
Subject Poltava National Technical University (Yuriy Kondratyuk) E624336 entity
Predicate namedAfter P63 FINISHED
Object Yuriy Kondratyuk
Yuriy Kondratyuk was a pioneering Ukrainian engineer and spaceflight theorist whose early 20th-century work on orbital mechanics and lunar trajectories anticipated key concepts later used in the Apollo Moon missions.
E2292013 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yuriy Kondratyuk | Statement: [Poltava National Technical University (Yuriy Kondratyuk), namedAfter, Yuriy Kondratyuk]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yuriy Kondratyuk
Triple: [Poltava National Technical University (Yuriy Kondratyuk), namedAfter, Yuriy Kondratyuk]
Generated description
Yuriy Kondratyuk was a pioneering Ukrainian engineer and spaceflight theorist whose early 20th-century work on orbital mechanics and lunar trajectories anticipated key concepts later used in the Apollo Moon missions.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2ff22e4c48190a0444b5a044f14e8 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f423ff8a448190bacc4e8ff2e20e1a completed May 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5cb3178f2881908a414c9539e17642 completed July 19, 2026, 11:20 a.m.
NEDg Description generation batch_6a5cb3908368819095990360203055a4 completed July 19, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a5cb42b8e9c8190bb0b4c7f4febf7d8 completed July 19, 2026, 11:25 a.m.
Created at: April 18, 2026, 5:56 a.m.